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Name: tt
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Name: tt
Type: User
Harvard CS109b Public Repository
Public Repository for cs109a, 2017 edition
Tutorials presented at the Microsoft AI+ Tour 2019
The AI for Earth Engineering Team works to empower AI for Earth Grantees by providing base images to quickly move from a local model to an model-backed API that any permitted user can utilize.
Use SageMaker's DeepAR algorithm to continuously develop store inventory forecasts in response to changing data.
The open source version of the Amazon SageMaker docs
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A guide for the automated ML MLADS 2019 workshop to be used in conjunction with the sample notebooks
:books: List of awesome university courses for learning Computer Science!
Azure Data Explorer advanced analytics library (functions, queries, etc.)
Code for binary segmentation of cloths
Deep Learning Specialization by Andrew Ng on Coursera.
A collection of various deep learning architectures, models, and tips
Deep Learning For Designers Workshop Notebooks and Files
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hyperparameter Tuning for Deep Learning
Interpretability Techniques to Build Robust AI Applications
Python implementation of KNN and DTW classification algorithm
1st place solution
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Includes the source code of the methods which participated in the M4 Competition
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
A Lap Around Azure Machine Learning
MLADS Fall 2019: Deep Learning for NLP Tutorial
Public repository for Microsoft AzureML and NVIDIA RAPIDS workshop at MLADS
Repository for deploying machine learning models using Azure Machine Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.